Evaluating Fidelity of Explainable Methods for Predictive Process Analytics-Reference-Cited by-同舟云学术

Evaluating Fidelity of Explainable Methods for Predictive Process Analytics

Published:2021 Issue: Volume: Page:64-72
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
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Author:

Velmurugan Mythreyi^ORCID,Ouyang Chun^ORCID,Moreira Catarina^ORCID,Sindhgatta Renuka^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-79108-7_8

Reference10 articles.

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2. Galanti, R., Coma-Puig, B., de Leoni, M., Carmona, J., Navarin, N.: Explainable predictive process monitoring. In: 2nd International Conference on Process Mining, pp. 1–8. IEEE (2020)

3. Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., Pedreschi, D.: A survey of methods for explaining black box models. ACM Comput. Surv. 51(5), 93:1-93:42 (2019)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P-J Kindermans,2019

5. Lundberg, S.M., Lee, S.: A unified approach to interpreting model predictions. In: Annual Conference on Neural Information Processing Systems, pp. 4765–4774 (2017)

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